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Junior Machine Learning Engineer Jobs in Alexander, AR

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Conway, AR · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Enhance student interest by facilitating real-world learning opportunities, hands-on demonstrations ... Ben Gilbert Design Engineer/Shop Coordinator/Instructor 501.916.6678 rbgilbert@ualr.edu ETAS Annex ...

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Showing results 41-60

Junior Machine Learning Engineer information

See Alexander, AR salary details

$31.6K

$67.7K

$103.2K

How much do junior machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for junior machine learning engineer in Alexander, AR is $67,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $75,400.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What cities near Alexander, AR are hiring for Junior Machine Learning Engineer jobs?

Cities near Alexander, AR with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Alexander, AR as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution, with an average salary of $67,682 per year, or $32.5 per hour.

Senior DevOps Engineer (US REMOTE)

Little Rock, AR • Remote

Motorola
Technology, Communication and Media • 10K+ employees

$140K - $170K/yr

Full-time

Medical, Dental, Retirement

Re-posted 20 days ago


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewThe Rave organization within Motorola Solutions is responsible for SaaS products supporting the safety mission of public and private entities. We help our customers engage with responders, households, schools, businesses, employees, students and other stakeholders to deliver critical communications, coordinate response, and exchange life-saving information.
The solutions we create apply exciting technologies such as geospatial visualization and analytics, high throughput communications, artificial intelligence, and numerous integrations with Motorola and partner systems. As a team member within the Rave organization, you will be exposed to many other solutions offered by Motorola Solutions, the most trusted name in public safety
Job Description

We're looking for a highly skilled AWS DevOps Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD Pipelines. You will play a key role in building, maintaining, securing and deploying scalable cloud infrastructure and systems.

Responsibilities:

  • Design, develop, and maintain scalable cloud infrastructure

  • Automate deployment, scaling and monitoring of systems on that infrastructure

  • Collaborate with cross-functional teams to define and implement CI/CD pipelines

  • Build and manage containerized applications

  • Provision and support configuration of relational databases with an emphasis on high availability, security and reliability

  • Monitor, troubleshoot, and optimize system performance and reliability

  • Contribute to the creation and operation of robust disaster recovery and backup strategies

  • Manage developer tooling

  • Ensure compliance with regulatory, compliance and security frameworks

  • (Optionally) develop and support full stack Java-based applications

Required Skills:

  • Citizenship: Must be a US Citizen. This requirement is due to specific U.S. Government Contract Mandates and access to sensitive public safety data.

  • Experience with containers and container orchestration tooling (Kubernetes / Helm / Docker)

  • Experience designing and deploying solutions to cloud environments (AWS)

  • Experience with IaC tooling (Terraform or similar)

  • Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps)

  • Experience with DVCS tooling (Git, GitHub, BitBucket, Azure DevOps)

  • Experience with RDBMS systems including managing schema evolution, migration, replication and disaster recovery (MySQL or similar)

  • Experience with Linux including scripting (Bash)

Preferred Skills:

  • Experience with AI/machine learning technologies is strongly preferred.

  • Familiarity with TCP/IP networking and troubleshooting tools (WireShark, TCPDump, SNGrep, nslookup)

  • Awareness of compliance frameworks (e.g. FedRAMP, CCCS)

  • Experience with SIP/RTP

  • Experience with developer tooling (Artifactory, Sonar, Gradle)

  • Familiarity with observability tooling (Prometheus/Grafana, ELK Stack or similar)

  • Knowledge of secure coding practices, security frameworks, and tooling (e.g., OWASP, NIST, CIS, Prisma Cloud/Twistlock, Mend/WhiteSource)

Soft Skills:

  • Strong problem-solving and analytical skills

  • Effective communication and teamwork abilities

  • Self-motivated with a passion for continuous learning

  • Ability to take ownership of problems and deliver complete solutions

Target Base Salary Range:$140,000 USD - $170,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

Note: Candidate can live anywhere in the United States.

#LI-MP2
#LI-REMOTE


Basic Requirements
  • 8+ years of cloud infrastructure experience

  • AND 5+ years of software engineering/development experience

  • AND 2+ year of Kubernetes and Docker experience

  • Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.


Travel RequirementsNone
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanYes

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928